docstr: Reinitialize learnable parameters.
docstr_tok: ["Reinitialize","learnable","parameters","."]
code: def reset_parameters(self):
      """Reinitialize learnable parameters."""
      gain = nn.init.calculate_gain("relu")
      nn.init.xavier_normal_(self.fc.weight, gain=gain)
      nn.init.xavier_normal_(self.attn_fc.weight, gain=gain)
  
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn.pytorch import GATConv
  import networkx
  from dgl import DGLGraph
  from dgl.data import citation_graph
  import time
  import numpy
label_desc: Use image node_id 2 for calling the GATLayer obj's underlying member method code with example usage: obj.reset_parameters() without return types